Senior Data Scientist - Azure AI & Generative ML (Hybrid)

NES Fircroft; Rotterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

NES Fircroft seeks a Senior Data Scientist for a permanent role operating in a hybrid model (Rotterdam with offshore options such as Monaco or Porto). The role involves building AI-powered data science solutions using Azure platforms and leading end-to-end analytics initiatives.

You will collaborate with cross-functional teams, develop ML models, and ensure production-grade delivery with MLOps practices, while leveraging time series analysis, OCR and document processing capabilities.

Qualifications

• Master's degree in Data Science, Computer Science, or Applied Mathematics.
• Strong ML/AI fundamentals with practical implementation experience.
• Experience with Python-based data science and ML workflows.
• Familiarity with Azure ML, MS Foundry, and governance considerations.
• Proven experience with time series analysis and document processing (OCR).

Responsibilities

• Design and implement end-to-end data science and AI solutions using Azure-based tools.
• Develop and evaluate ML models including vision and document processing pipelines.
• Contribute to Generative AI initiatives such as LLMs and copilots.
• Ensure production readiness with MLOps practices and performance checks.
• Collaborate with cross-functional teams to translate business needs into analytics solutions.
• Document results and communicate findings to technical and non-technical stakeholders.
• Work in an Agile environment with Azure DevOps, Git and cloud services.

Skills

Python

Azure ML

Generative AI

Time series

Team collaboration

Education

Master's in Data Science

Engineering background

Tools

Azure DevOps

Git

CI/CD

OCR pipelines

Job description

NES Fircroft seeks a Senior Data Scientist for a permanent role operating in a hybrid model (Rotterdam with offshore options such as Monaco or Porto). The role involves building AI-powered data science solutions using Azure platforms and leading end-to-end analytics initiatives.

You will collaborate with cross-functional teams, develop ML models, and ensure production-grade delivery with MLOps practices, while leveraging time series analysis, OCR and document processing capabilities.